path: "tensorflow.keras.utils.SequenceEnqueuer"
tf_class {
  is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>"
  is_instance: "<type \'object\'>"
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'sequence\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "get"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "is_running"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "start"
    argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], "
  }
  member_method {
    name: "stop"
    argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}
